Game Data Analyst

Responsibilities： Take full ownership of the comprehensive data analysis for core game products. From business and product perspectives, leverage data to identify game issues and bottlenecks, deliver actionable insights, and drive game optimization initiatives. Track the progress of A/B experiments, ensure the reliability and validity of experiment results, and provide targeted recommendations for product iteration. Apply machine learning algorithms to analyze user behavior data, optimize the user lifecycle funnel, and achieve user growth targets. Institutionalize analytical frameworks and methodologies, and deliver analysis templates or requirements for data products Qualifications： Bachelor’s degree or above in Computer Science, Mathematics, Statistics, Economics, Finance, Physics, Communications Engineering or related disciplines. Proficiency in full-spectrum SQL skills, especially window functions; ability to apply common machine learning algorithms in Python/R to solve modeling problems. Solid foundation in statistics, with a clear understanding of the application of statistical methods in A/B experiments. Exceptional self-motivation, self-learning capability, logical thinking, and the ability to solve problems independently. Passion for games and data analysis work; strong data sensitivity and analytical insight; excellent teamwork and communication skills We specialize in global casual games. As we undergo rapid business expansion, we have multiple openings available and are actively seeking top-tier talent across the industry!